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1
Definition
 Standard structure for representing the planned
sequence of events and the treatment plan of a trail.
 Plan for a precise procedure to be followed in a
clinical trail, including timing of events, choice of
control group, method of allocating treatments,
blinding methods.
2
Study Design
 The choice of design depends on the goal of the trial
 Choice also depends on the population, knowledge of the
intervention
 Choose mentor wisely
 Get an epidemiologist/ statistician on board at start
 Should be Flexible, appropriate, efficient, economical
 Should give smallest experimental error & high reliability &
validity
3
Phase I Design
Typical/Standard Design
 Based on tradition, not so much on
 statistical theory
 Dose escalation to reach maximum tolerated
 dose (MTD)
 Dose escalation often based on Fibonacci Series
1 2 3 5 8 13 . . . .
4
Typical Scheme
1. Enter 3(5) patients at a given dose
2. If no toxicity, go to next dosage and repeat step 1
3. a. If 1 patient has serious toxicity, add 3 more
patients at that dose (go to 4)
b. If 2/3 have serious toxicity, consider MTD
4. a. If 2 or more of 6 patient show toxicity, MTD
reached (perhaps)
b. If 1 of 6 has toxicity, increase dose and go back
to
step 1
5
Standard Phase I Design
Designed to find dose where 1/3 of patients
experience dose limiting toxicity (DLT)
6
Therapeutic Index for a new
drug
Therapeutic Index
Toxic Dose
Minimally Effective Dose
Dose
7
Phase II Design
 Goal
 Screen for therapeutic activity
 Further evaluate toxicity
 Test using MTD from Phase I
 If drug passes screen, test further
8
Phase II Design
 No control
 Goal is to reject ineffective drugs ASAP
Decision I: Drug is unlikely to be effective in  x% of
patients
Decision II: Drug could be effective
in  x% of patients
9
Phase III Introduction
 Use of proper control group necessary due to:
 Natural history of most diseases
 Variability of a patient's response to intervention
 No comparison groups needed when results dramatic:
 Penicillin for pneumococcal pneumonia
 Rabies vaccine
10
Phase III Design
 Comparative Studies
 Experimental Group vs. Control Group (Placebo
/ Comparator)
 Placebo made to look like a study drug
 Randomized Control Trial (RCT) is the gold
standard
 Eliminates several sources of bias
11
Purpose of Control Group
 To allow discrimination of patient outcomes caused by
experimental intervention from those caused by other factors
 Natural progression of disease
 Observer/patient expectations
 Other treatment
 Fair comparisons
 Necessary to be informative
12
Choice of Control Group
 Goals of Controlled Clinical Trials
 Types of Control Groups
 Significance of Control Group
 Assay Sensitivity
13
Considerations in Choice of
Control Group
 Available standard therapies
 Adequacy of the control evidence for the chosen design
 Ethical considerations
14
Significance of Control
Group
 Inference drawn from the trial
 Ethical acceptability of the trial
 Degree to which bias is minimized
 Type of subjects
 Kind of endpoints that can be studied
 Credibility of the results
 Acceptability of the results by regulatory
authorities
 Other features of the trial, its conduct, and
interpretation
15
Randomized Control Clinical Trial
 Patients assigned at random to either treatment(s) or control
 Each patient has the same chance of receiving any of the treatments
under study
 Allocation of treatments to participants is carried out using a chance
mechanism so that neither the patient nor the physician know in
advance which therapy will be assigned
16
Randomization 17
Advantages of RCT
Considered to be “Gold
Standard”
Randomization "tends" to
produce comparable groups
Randomization produces valid
statistical test
18
Disadvantages RCT
1. Recruitment
 Twice as many new patients
2. Acceptability of Randomization Process
 Some physicians will refuse
 Some patients will refuse
3. Administrative Complexity
19
Treatment Studies
 Randomized controlled trial
 Non-blind trial
 Single-blind randomized trial
 Double-blind randomized trial
 Triple-blind randomized trial
 Nonrandomized trial (quasi-experiment)
 Interrupted time series design (measures on a sample
or a series of samples from the same population are
obtained several times before and after a manipulated
event or a naturally occurring event) - considered a
type of quasi-experiment
20
 Non-Blind Trial / Open Trial
 Researchers as well as patients know full details
of the treatment
 Usually this kind of study design is used in
bioequivalence studies
 Single-Blind Trial
 Researchers know the detail of treatment but
patient does not
 Since the researcher knows, it is possible for the
researcher to treat the patient differently or to
subconsciously hint to the patient important
treatment-related details, thus influencing the
outcome of the study
21
 Double-Blind Trial
 Neither research staff nor study subjects know
the detail of treatment
 Double-blind trials are preferred, as they tend
give the most accurate results
 Triple-Blind Trial
 Subject, researcher and person administering
treatment (often a pharmacist/ statistician) are
blinded
 it connotes an additional layer of security to
prevent undue influence of study results by
anyone directly involved with the study
22
Cluster Randomization Designs
• Groups (clinics, communities) are randomized to treatment
or control
• Examples:
• Community trials on fluoridization of water
• Breast self examination programs in different clinic setting
• Advantages
• Sometimes logistically more feasible
• Avoid contamination
• Allow mass intervention, thus “public health trial”
• Disadvantages
• Effective sample size less than number of subjects
• Many units must participate to overcome unit-to-unit variation,
thus requires larger sample size
• Need cluster sampling methods
23
Commonly used Phase III
Design
 Open label trial
 Parallel trial
 Cross over trial
 Randomized control trial
 Cohort study
 Prospective study
 Retrospective study
 Replicate design
 Factorial design
24
Fundamental Design
Eligible
No
Dropped
Consent
R
A
N
D
O
M
I
Z
E
No
Dropped
Yes Yes
A
A
25
Open label trial
 The situation when both the researcher and the
participant in a research study know the treatment the
participant is receiving.
 Open-label trials may be appropriate for comparing
two very similar treatments to determine which is most
effective.
 An open-label trial may be unavoidable under some
circumstances, such as comparing the effectiveness of a
medication.
 Open-label trials may also be uncontrolled, with all
participants receiving the same treatment.
26
Parallel Study
 A parallel designed clinical trial compares the results of a
treatment on two separate groups of patients
 Measures the standard deviation of repeated
observations in the same individual
 Advantage
 Simple, General Use
 Valid Comparison
 Disadvantage
 Require greater sample size
27
Parallel Design
Screen
Randomize
Study Treatment A vs. Treatment B in different groups
E.g. CAST (Cardiac Arrhythmia Suppression Trial ) DCCT
(Diabetes Control and Complications Trial )
Treatment A
Treatment B
28
Crossover Study
 A crossover study compares the results of a two
treatment on the same group of patients
 Crossover designs are generally not used in
vaccine trials because the immune system is
permanently affected (or at least affected for a
long time). Thus, carry over effects are always
present
 Measures the standard deviation of the
difference between two measurements in the
same individual
29
Cross Over Design
Scheme
Period
Group I II
AB 1 TRT A TRT B
BA 2 TRT B TRT A
 Advantage
 Each patient their own control
 Smaller sample size
 Disadvantage
 Not useful for acute disease
 Disease must be stable
 Assumes no period carry over
 If carryover, have a study half sized
(Period I A vs. Period I B)
Washout
Period
30
Cross-over Design
Population
Sample
Intervention
Randomization
Placebo
Washout
Washout
Placebo
Intervention
Outcome Outcome
31
Run-In Design
Problem:
 Non-compliance by patient may seriously impair
efficiency and possibly distort conclusions
Possible Solution: Drug Trials
 Assign all eligible patients a placebo to be taken for a
“brief” period of time. Patients who are “judged”
compliant are enrolled into the study. This is often
referred to as the “Placebo Run-In” period.
 Can also use active drug to test for compliance
32
Run-In Design
Screen &
Consent
Run-In
Period
R
A
N
D
O
M
I
Z
E
Unsatisfactory
Dropped
B
A
Note: It is assumed that all patient entering the run-in
period are eligible and have given consent
Satisfactory
33
Examples of Run-In Trials
 Cardiac Arrhythmia Suppression Trial (CAST)
 Diabetes Control and Complications Trial (DCCT)
 Physicians Health Study (PHS)
34
Cohort Study
 A cohort is a group of people who share a common
characteristic or experience within a defined period e.g are
exposed to a drug or a vaccine together
 The comparison group may be the general population from
which the cohort is drawn, or it may be another cohort of
persons thought to have had little or no exposure to the
substance under investigation, but otherwise similar.
Alternatively, subgroups within the cohort may be compared
with each other.
 Cohort studies are expensive to conduct & take a long
follow-up time to generate useful data. Some cohort studies
track groups of children from their birth, and record a wide
range of information (exposures) about them.
 The value of a cohort study depends on the researchers'
capacity to stay in touch with all members of the cohort.
Some of these studies have continued for decades.
35
Graphical illustration of
cohort study
36
Advantages of cohort study
 Study design does not require strict random assignment
of subjects.
 As in the case of smoking vs. non-smoking cohort study,
random assignment is not a feasible or ethical
alternative. (Who wants to be assigned to a smoking
group if he/she is non-smoker?).
 Appealing and useful technique because it is highly
flexible.
 In some instances, a cohort analysis can be less
expensive than experiments or surveys.
37
Disadvantages of cohort study
 To assess whether associations between cohort and dependent
variables derived from the studies are of a causal nature or not.
 Threats to validity: influence of factors over which the investigators
most often do not have full control.
 Because of the lack of randomization in the cohort design, the two
groups may differ in ways other than in the variable under study.
 For e.g., if the subjects who smoke tend to have less money than
the non-smokers, and thus have less access to health care, that
would exaggerate the difference between the two groups.
 Time consuming so tend to change over the course of the study
(People die, move away, or develop other conditions, new and
promising treatments arise, and so on.)
38
Prospective study
 A prospective study is a cohort study that follows over
time a group of similar individuals who differ with
respect to certain factors under study, in order to
determine how these factors affect rates of a certain
outcome.
 For eg, middle-aged truck drivers who vary in terms of
smoking habits, in order to test that after 20-year
incidence rate of lung cancer will be highest among
heavy smokers, followed by moderate smokers, and
then nonsmokers.
 The prospective study is important for research on the
etiology of diseases and disorders in humans.
 It can be more expensive.
39
Prospective Cohort Study Design
The Present The Future
Population
Sample
Risk Factor
No Risk Factor
Disease No Disease
Disease No Disease
40
Advantages
 Prospective cohort study data is the longitudinal
observation of the individual through time, and the
collection of data at regular intervals, so recall error is
reduced.
 Temporal relationship established
 Multiple outcomes can be studied
 Good choice for rare exposure situation
 Investigator defines and applies outcome criteria
Disadvantages
 Hard to select and maintain a “non-exposed” group
 Loss to follow-up problem for long induction times
 Expensive
 Changes can take place over time in both exposure and
outcome assessment
41
Retrospective trial
 Retrospective means to take a look back at
events that aleready have taken place (like pt’s
medical history)
 Also called a historic cohort study, is a medical
research study in which the medical records of
groups of individuals who are alike in many
ways but differ by a certain characteristic.
 For example, Long-Term Mortality after Gastric
Bypass Surgery
42
Retrospective Cohort Study
Design
The Past
Population
Sample
Risk Factor
No Risk Factor
Disease No Disease
Disease No Disease
The Present
43
Advantages of Retrospective Study
 Inexpensive
 Uses existing records
 Allows study of rare occurrences
 Easier to assess conditions where there is a
long latency between exposure and disease
 Can generate hypothesis that is then tested
prospectively (quality improvement initiatives)
44
Disadvantages of Retrospective Study
 Relies on accuracy of written record or recall of
individuals
 Important data may not be available
 Difficult to control bias and confounders: no
randomization, no blinding
 May be impossible to access important
information (restricted by statute or institutional
regulations)
 Difficult to establish cause and effect
 Results are, at best, hypothesis-generating
45
Replicate design
 The experiment should be repeated more than once,
thus each T/t is many experimental units instead of
one.
 Typically four-period design
Each product administered twice
 Intra-subject variability
 Different approaches possible
 Average bioequivalence
 Individual bioequivalence
Period
1
Period
2
Period
3
Period
4
Sequence
1
T R R T
Sequence
2
R T T R
Sequence
3
T T R R
Sequence
4
R R T T
46
Advantages
 More information available
 Different approaches to assessment possible
Disadvantages
 Bigger commitment for volunteers
 More administrations to healthy volunteers
 More expensive to conduct
47
Factorial design
 Designs which include multiple independent variables are
known as factorial designs.
 If we were looking at GENDER and ,TIME OF EXAM, these
would be two independent factors
 GENDER would only have two levels: male or female
 TIME OF EXAM might have multiple levels, e.g. morning,
noon or night
 Depends on three pieces of information:
 The number of independent variables
 The number of levels of each independent variable
 The kind of independent variable
 Between Groups
 Within Subjects (or Repeated Measures)
48
 If there is only one independent variable then
 The design is a one-way design (e.g. does coffee drinking influence
exam scores)
 If there are two independent variables
 The design is a two-way design (e.g. does time of day or coffee
drinking influence exam scores).
 If there are three independent variables
 The design is a three-way design (e.g. does time of day, coffee drinking
or age influence exam scores).
E.g.: When patients are being treated with a combination of drugs, as is
current practice for HIV infection, a new drug may be evaluated by
testing it in combination with other drugs rather than by itself. A
factorial design trial may be used for this purpose. A simple factorial
design would have one group testing therapy A, another testing
therapy B, a third group testing A and B combined, and a control
group testing neither A nor B.
49
Factorial Design
Population
Sample
Int A and Int B
Int A and Pbo B
Pbo A and Int B
Pbo A and Pbo B
Outcome
Outcome
Outcome
Outcome
50
Advantages
 A greater precision can be obtained in estimating the
overall main factor effects.
 Interaction between different factors can be explored.
 Additional factors can help to extend validity of
conclusions derived.
 Factorial designs are considered an efficient way to test
medicines in combination, but their results are not
always easy to interpret.
Disadvantages
 Experimental error like replicated
 Lesser attractive
 More subjects
 More expensive
51
Other Types of trial
 Superiority trials are designed to demonstrate that one treatment is
more effective than another.
 Non-inferiority trials are designed to demonstrate that a treatment
is at least not appreciably worse than another.
 Would have beaten placebo if a placebo arm had been included
(regulatory)
 The question is whether new (easier or cheaper) treatment is as
good as the current treatment
 Equivalence trials are designed to demonstrate that one treatment is
as effective as another by more than some margin
 A longitudinal study research subjects over two or more points in
time; by contrast, while a cross-sectional study assesses research
subjects at one point in time.
52
53

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Clinical trial design

  • 1. 1
  • 2. Definition  Standard structure for representing the planned sequence of events and the treatment plan of a trail.  Plan for a precise procedure to be followed in a clinical trail, including timing of events, choice of control group, method of allocating treatments, blinding methods. 2
  • 3. Study Design  The choice of design depends on the goal of the trial  Choice also depends on the population, knowledge of the intervention  Choose mentor wisely  Get an epidemiologist/ statistician on board at start  Should be Flexible, appropriate, efficient, economical  Should give smallest experimental error & high reliability & validity 3
  • 4. Phase I Design Typical/Standard Design  Based on tradition, not so much on  statistical theory  Dose escalation to reach maximum tolerated  dose (MTD)  Dose escalation often based on Fibonacci Series 1 2 3 5 8 13 . . . . 4
  • 5. Typical Scheme 1. Enter 3(5) patients at a given dose 2. If no toxicity, go to next dosage and repeat step 1 3. a. If 1 patient has serious toxicity, add 3 more patients at that dose (go to 4) b. If 2/3 have serious toxicity, consider MTD 4. a. If 2 or more of 6 patient show toxicity, MTD reached (perhaps) b. If 1 of 6 has toxicity, increase dose and go back to step 1 5
  • 6. Standard Phase I Design Designed to find dose where 1/3 of patients experience dose limiting toxicity (DLT) 6
  • 7. Therapeutic Index for a new drug Therapeutic Index Toxic Dose Minimally Effective Dose Dose 7
  • 8. Phase II Design  Goal  Screen for therapeutic activity  Further evaluate toxicity  Test using MTD from Phase I  If drug passes screen, test further 8
  • 9. Phase II Design  No control  Goal is to reject ineffective drugs ASAP Decision I: Drug is unlikely to be effective in  x% of patients Decision II: Drug could be effective in  x% of patients 9
  • 10. Phase III Introduction  Use of proper control group necessary due to:  Natural history of most diseases  Variability of a patient's response to intervention  No comparison groups needed when results dramatic:  Penicillin for pneumococcal pneumonia  Rabies vaccine 10
  • 11. Phase III Design  Comparative Studies  Experimental Group vs. Control Group (Placebo / Comparator)  Placebo made to look like a study drug  Randomized Control Trial (RCT) is the gold standard  Eliminates several sources of bias 11
  • 12. Purpose of Control Group  To allow discrimination of patient outcomes caused by experimental intervention from those caused by other factors  Natural progression of disease  Observer/patient expectations  Other treatment  Fair comparisons  Necessary to be informative 12
  • 13. Choice of Control Group  Goals of Controlled Clinical Trials  Types of Control Groups  Significance of Control Group  Assay Sensitivity 13
  • 14. Considerations in Choice of Control Group  Available standard therapies  Adequacy of the control evidence for the chosen design  Ethical considerations 14
  • 15. Significance of Control Group  Inference drawn from the trial  Ethical acceptability of the trial  Degree to which bias is minimized  Type of subjects  Kind of endpoints that can be studied  Credibility of the results  Acceptability of the results by regulatory authorities  Other features of the trial, its conduct, and interpretation 15
  • 16. Randomized Control Clinical Trial  Patients assigned at random to either treatment(s) or control  Each patient has the same chance of receiving any of the treatments under study  Allocation of treatments to participants is carried out using a chance mechanism so that neither the patient nor the physician know in advance which therapy will be assigned 16
  • 18. Advantages of RCT Considered to be “Gold Standard” Randomization "tends" to produce comparable groups Randomization produces valid statistical test 18
  • 19. Disadvantages RCT 1. Recruitment  Twice as many new patients 2. Acceptability of Randomization Process  Some physicians will refuse  Some patients will refuse 3. Administrative Complexity 19
  • 20. Treatment Studies  Randomized controlled trial  Non-blind trial  Single-blind randomized trial  Double-blind randomized trial  Triple-blind randomized trial  Nonrandomized trial (quasi-experiment)  Interrupted time series design (measures on a sample or a series of samples from the same population are obtained several times before and after a manipulated event or a naturally occurring event) - considered a type of quasi-experiment 20
  • 21.  Non-Blind Trial / Open Trial  Researchers as well as patients know full details of the treatment  Usually this kind of study design is used in bioequivalence studies  Single-Blind Trial  Researchers know the detail of treatment but patient does not  Since the researcher knows, it is possible for the researcher to treat the patient differently or to subconsciously hint to the patient important treatment-related details, thus influencing the outcome of the study 21
  • 22.  Double-Blind Trial  Neither research staff nor study subjects know the detail of treatment  Double-blind trials are preferred, as they tend give the most accurate results  Triple-Blind Trial  Subject, researcher and person administering treatment (often a pharmacist/ statistician) are blinded  it connotes an additional layer of security to prevent undue influence of study results by anyone directly involved with the study 22
  • 23. Cluster Randomization Designs • Groups (clinics, communities) are randomized to treatment or control • Examples: • Community trials on fluoridization of water • Breast self examination programs in different clinic setting • Advantages • Sometimes logistically more feasible • Avoid contamination • Allow mass intervention, thus “public health trial” • Disadvantages • Effective sample size less than number of subjects • Many units must participate to overcome unit-to-unit variation, thus requires larger sample size • Need cluster sampling methods 23
  • 24. Commonly used Phase III Design  Open label trial  Parallel trial  Cross over trial  Randomized control trial  Cohort study  Prospective study  Retrospective study  Replicate design  Factorial design 24
  • 26. Open label trial  The situation when both the researcher and the participant in a research study know the treatment the participant is receiving.  Open-label trials may be appropriate for comparing two very similar treatments to determine which is most effective.  An open-label trial may be unavoidable under some circumstances, such as comparing the effectiveness of a medication.  Open-label trials may also be uncontrolled, with all participants receiving the same treatment. 26
  • 27. Parallel Study  A parallel designed clinical trial compares the results of a treatment on two separate groups of patients  Measures the standard deviation of repeated observations in the same individual  Advantage  Simple, General Use  Valid Comparison  Disadvantage  Require greater sample size 27
  • 28. Parallel Design Screen Randomize Study Treatment A vs. Treatment B in different groups E.g. CAST (Cardiac Arrhythmia Suppression Trial ) DCCT (Diabetes Control and Complications Trial ) Treatment A Treatment B 28
  • 29. Crossover Study  A crossover study compares the results of a two treatment on the same group of patients  Crossover designs are generally not used in vaccine trials because the immune system is permanently affected (or at least affected for a long time). Thus, carry over effects are always present  Measures the standard deviation of the difference between two measurements in the same individual 29
  • 30. Cross Over Design Scheme Period Group I II AB 1 TRT A TRT B BA 2 TRT B TRT A  Advantage  Each patient their own control  Smaller sample size  Disadvantage  Not useful for acute disease  Disease must be stable  Assumes no period carry over  If carryover, have a study half sized (Period I A vs. Period I B) Washout Period 30
  • 32. Run-In Design Problem:  Non-compliance by patient may seriously impair efficiency and possibly distort conclusions Possible Solution: Drug Trials  Assign all eligible patients a placebo to be taken for a “brief” period of time. Patients who are “judged” compliant are enrolled into the study. This is often referred to as the “Placebo Run-In” period.  Can also use active drug to test for compliance 32
  • 33. Run-In Design Screen & Consent Run-In Period R A N D O M I Z E Unsatisfactory Dropped B A Note: It is assumed that all patient entering the run-in period are eligible and have given consent Satisfactory 33
  • 34. Examples of Run-In Trials  Cardiac Arrhythmia Suppression Trial (CAST)  Diabetes Control and Complications Trial (DCCT)  Physicians Health Study (PHS) 34
  • 35. Cohort Study  A cohort is a group of people who share a common characteristic or experience within a defined period e.g are exposed to a drug or a vaccine together  The comparison group may be the general population from which the cohort is drawn, or it may be another cohort of persons thought to have had little or no exposure to the substance under investigation, but otherwise similar. Alternatively, subgroups within the cohort may be compared with each other.  Cohort studies are expensive to conduct & take a long follow-up time to generate useful data. Some cohort studies track groups of children from their birth, and record a wide range of information (exposures) about them.  The value of a cohort study depends on the researchers' capacity to stay in touch with all members of the cohort. Some of these studies have continued for decades. 35
  • 37. Advantages of cohort study  Study design does not require strict random assignment of subjects.  As in the case of smoking vs. non-smoking cohort study, random assignment is not a feasible or ethical alternative. (Who wants to be assigned to a smoking group if he/she is non-smoker?).  Appealing and useful technique because it is highly flexible.  In some instances, a cohort analysis can be less expensive than experiments or surveys. 37
  • 38. Disadvantages of cohort study  To assess whether associations between cohort and dependent variables derived from the studies are of a causal nature or not.  Threats to validity: influence of factors over which the investigators most often do not have full control.  Because of the lack of randomization in the cohort design, the two groups may differ in ways other than in the variable under study.  For e.g., if the subjects who smoke tend to have less money than the non-smokers, and thus have less access to health care, that would exaggerate the difference between the two groups.  Time consuming so tend to change over the course of the study (People die, move away, or develop other conditions, new and promising treatments arise, and so on.) 38
  • 39. Prospective study  A prospective study is a cohort study that follows over time a group of similar individuals who differ with respect to certain factors under study, in order to determine how these factors affect rates of a certain outcome.  For eg, middle-aged truck drivers who vary in terms of smoking habits, in order to test that after 20-year incidence rate of lung cancer will be highest among heavy smokers, followed by moderate smokers, and then nonsmokers.  The prospective study is important for research on the etiology of diseases and disorders in humans.  It can be more expensive. 39
  • 40. Prospective Cohort Study Design The Present The Future Population Sample Risk Factor No Risk Factor Disease No Disease Disease No Disease 40
  • 41. Advantages  Prospective cohort study data is the longitudinal observation of the individual through time, and the collection of data at regular intervals, so recall error is reduced.  Temporal relationship established  Multiple outcomes can be studied  Good choice for rare exposure situation  Investigator defines and applies outcome criteria Disadvantages  Hard to select and maintain a “non-exposed” group  Loss to follow-up problem for long induction times  Expensive  Changes can take place over time in both exposure and outcome assessment 41
  • 42. Retrospective trial  Retrospective means to take a look back at events that aleready have taken place (like pt’s medical history)  Also called a historic cohort study, is a medical research study in which the medical records of groups of individuals who are alike in many ways but differ by a certain characteristic.  For example, Long-Term Mortality after Gastric Bypass Surgery 42
  • 43. Retrospective Cohort Study Design The Past Population Sample Risk Factor No Risk Factor Disease No Disease Disease No Disease The Present 43
  • 44. Advantages of Retrospective Study  Inexpensive  Uses existing records  Allows study of rare occurrences  Easier to assess conditions where there is a long latency between exposure and disease  Can generate hypothesis that is then tested prospectively (quality improvement initiatives) 44
  • 45. Disadvantages of Retrospective Study  Relies on accuracy of written record or recall of individuals  Important data may not be available  Difficult to control bias and confounders: no randomization, no blinding  May be impossible to access important information (restricted by statute or institutional regulations)  Difficult to establish cause and effect  Results are, at best, hypothesis-generating 45
  • 46. Replicate design  The experiment should be repeated more than once, thus each T/t is many experimental units instead of one.  Typically four-period design Each product administered twice  Intra-subject variability  Different approaches possible  Average bioequivalence  Individual bioequivalence Period 1 Period 2 Period 3 Period 4 Sequence 1 T R R T Sequence 2 R T T R Sequence 3 T T R R Sequence 4 R R T T 46
  • 47. Advantages  More information available  Different approaches to assessment possible Disadvantages  Bigger commitment for volunteers  More administrations to healthy volunteers  More expensive to conduct 47
  • 48. Factorial design  Designs which include multiple independent variables are known as factorial designs.  If we were looking at GENDER and ,TIME OF EXAM, these would be two independent factors  GENDER would only have two levels: male or female  TIME OF EXAM might have multiple levels, e.g. morning, noon or night  Depends on three pieces of information:  The number of independent variables  The number of levels of each independent variable  The kind of independent variable  Between Groups  Within Subjects (or Repeated Measures) 48
  • 49.  If there is only one independent variable then  The design is a one-way design (e.g. does coffee drinking influence exam scores)  If there are two independent variables  The design is a two-way design (e.g. does time of day or coffee drinking influence exam scores).  If there are three independent variables  The design is a three-way design (e.g. does time of day, coffee drinking or age influence exam scores). E.g.: When patients are being treated with a combination of drugs, as is current practice for HIV infection, a new drug may be evaluated by testing it in combination with other drugs rather than by itself. A factorial design trial may be used for this purpose. A simple factorial design would have one group testing therapy A, another testing therapy B, a third group testing A and B combined, and a control group testing neither A nor B. 49
  • 50. Factorial Design Population Sample Int A and Int B Int A and Pbo B Pbo A and Int B Pbo A and Pbo B Outcome Outcome Outcome Outcome 50
  • 51. Advantages  A greater precision can be obtained in estimating the overall main factor effects.  Interaction between different factors can be explored.  Additional factors can help to extend validity of conclusions derived.  Factorial designs are considered an efficient way to test medicines in combination, but their results are not always easy to interpret. Disadvantages  Experimental error like replicated  Lesser attractive  More subjects  More expensive 51
  • 52. Other Types of trial  Superiority trials are designed to demonstrate that one treatment is more effective than another.  Non-inferiority trials are designed to demonstrate that a treatment is at least not appreciably worse than another.  Would have beaten placebo if a placebo arm had been included (regulatory)  The question is whether new (easier or cheaper) treatment is as good as the current treatment  Equivalence trials are designed to demonstrate that one treatment is as effective as another by more than some margin  A longitudinal study research subjects over two or more points in time; by contrast, while a cross-sectional study assesses research subjects at one point in time. 52
  • 53. 53